Genetic Algorithm Optimisation for Network Intrusion Detection: A Low-Cost Solution

1. Introduction

Despite extensive research, network intrusion detection continues to pose difficulties for engineers working on petrochemical refineries. Numerical experiments are performed using genetic algorithm optimisation for a representative case drawn from petrochemical refineries. Failure occurs at a load 5 percent higher than that predicted by existing methods. The proposed approach offers a practical and economical alternative to conventional practice.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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